Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

This is a preview. Log in through your library . Abstract Sufficient dimension reduction is popular for reducing data dimensionality without stringent model assumptions. However, most existing methods ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...